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Monotone missing data and pattern-mixture models

Molenberghs, G., Michiels, B., Kenward, Michael G., Diggle, P.J. (1998) Monotone missing data and pattern-mixture models. Statistica Neerlandica, 52 (2). pp. 153-161. ISSN 0039-0402. (doi:10.1111/1467-9574.00075) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:17450)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1111/1467-9574.00075

Abstract

It is shown that the classical taxonomy of missing data models, namely missing completely at random, missing at random and informative missingness, which has been developed almost exclusively within a selection modelling framework, can also be applied to pattern-mixture models. In particular, intuitively appealing identifying restrictions are proposed for a pattern-mixture MAR mechanism.

Item Type: Article
DOI/Identification number: 10.1111/1467-9574.00075
Uncontrolled keywords: missing at random; selection model
Subjects: Q Science
Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Depositing User: M.A. Ziai
Date Deposited: 29 Mar 2009 22:52 UTC
Last Modified: 16 Nov 2021 09:55 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/17450 (The current URI for this page, for reference purposes)

University of Kent Author Information

Kenward, Michael G..

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